Building and Backtesting EMA and RSI Crypto Strategies

Summary

This tutorial explains how to assemble an automated cryptocurrency strategy with a visual strategy designer. Its example combines an exponential moving average with the relative strength index: RSI identifies an oversold move, while the EMA provides a trend-related buy condition. Users can select indicators or candle patterns, configure their settings, and set how many selected signals must agree before opening a position.

The article recommends using the platform’s test feature to inspect buy and sell points on recent market data, then saving the strategy for automated trading on chosen pairs. This is a setup walkthrough, not evidence of a profitable strategy: it provides no numerical backtest results, benchmark, transaction-cost analysis, or risk controls. Its test covers only recent days, so it cannot establish performance across different market regimes. The described rules are an illustrative starting point that would need more rigorous evaluation before live deployment.

Key ideas

• The example pairs RSI oversold readings with an EMA-based buy condition.
• The designer supports indicator and candle-pattern rules with configurable signal thresholds.
• A visual test can show recent buy and sell points on a chart.
• The tutorial provides no evidence that the example strategy is profitable across market conditions.
• Recent-data testing alone does not address costs or establish live trading performance.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.